llama.cpp
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
This covers a coding tool or code-capability update — useful for developers assessing workflow changes and reusable value.
Pair it with a local coding agent.
Run llama serve, install the pi-llama plugin and launch Pi. It will automatically discover your local model. No config, no API keys. Files stay on your machine, requests never leave it.
# 1. Serve a model llama serve
# 2. Install the pi-llama plugin pi install git:github.com/huggingface/pi-llama
# 3. Run Pi, everything is set pi
Optimized for any hardware.
From your laptop to a cluster, llama.cpp runs on whatever you have. Same binary, same models, same hand-tuned kernels for every GPU and CPU.
Apple Silicon
M Ultra
RTX 5090
CPU
Jetson
H100
MI300
RTX 4090
A100
M Pro
M Max
DGX Spark
T4
Radeon RX
B200
Intel Arc
RTX 3090